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- Afghahi, Henri, 1966, et al.
(författare)
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Risk factors for the development of albuminuria and renal impairment in type 2 diabetes—the Swedish National Diabetes Register (NDR)
- 2010
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Ingår i: Nephrology, Dialysis and Transplantation. - : Oxford University Press (OUP). - 0931-0509 .- 1460-2385. ; 26:4, s. 1236-1243
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Tidskriftsartikel (refereegranskat)abstract
- Background. The aim of this study was to identify clinical risk factors associated with the development of albuminuria and renal impairment in patients with type 2 diabetes (T2D). In addition, we evaluated if different equations to estimate renal function had an impact on interpretation of data. This was done in a nationwide population-based study using data from the Swedish National Diabetes Register. Methods. Three thousand and six hundred sixty-seven patients with T2D aged 30-74 years with no signs of renal dysfunction at baseline (no albuminuria and eGFR >60 mL/min/1.73 m(2) according to MDRD) were followed up for 5 years (2002-2007). Renal outcomes, development of albuminuria and/or renal impairment [eGFR < 60 mL/min/1.73 m(2) by MDRD or eCrCl > 60 mL/min by Cockgroft-Gault (C-G)] were assessed at follow-up. Univariate regression analyses and stepwise regression models were used to identify significant clinical risk factors for renal outcomes. Results. Twenty percent of patients developed albuminuria, and 11% renal impairment; thus, ~6-7% of all patients developed non-albuminuric renal impairment. Development of albuminuria or renal impairment was independently associated with high age (all P < 0.001), high systolic BP (all P < 0.02) and elevated triglycerides (all P < 0.02). Additional independent risk factors for albuminuria were high BMI (P < 0.01), high HbA1c (P < 0.001), smoking (P < 0.001), HDL (P < 0.05) and male sex (P < 0.001), and for renal impairment elevated plasma creatinine at baseline and female sex (both P < 0.001). High BMI was an independent risk factor for renal impairment when defined by MDRD (P < 0.01), but low BMI was when defined by C-G (P < 0.001). Adverse effects of BMI on HbA1c, blood pressure and lipids accounted for ~50% of the increase risk for albuminuria, and for 41% of the increased risk for renal impairment (MDRD). Conclusions. Distinct sets of risk factors were associated with the development of albuminuria and renal impairment consistent with the concept that they are not entirely linked in patients with type 2 diabetes. Obesity and serum triglycerides are semi-novel risk factors for development of renal dysfunction and BMI accounted for a substantial proportion of the increased risk. The equations used to estimate renal function (MDRD vs. C-G) had an impact on interpretation of data, especially with regard to body composition and gender.
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| 3. |
- Cederholm, Jan, et al.
(författare)
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A new model for 5-year risk of cardiovascular disease in Type 1 diabetes : from the Swedish National Diabetes Register (NDR)
- 2011
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Ingår i: Diabetic Medicine. - : Wiley. - 0742-3071 .- 1464-5491. ; 28:10, s. 1213-1220
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Tidskriftsartikel (refereegranskat)abstract
- Aims: We assessed the association between risk factors and cardiovascular disease in an observational study of patients with Type 1 diabetes from the Swedish National Diabetes Register.Methods: A derivation sample of 3661 patients, aged 30-65 years, 6.1% with previous cardiovascular disease, baseline 2002, and 197 cardiovascular disease events when followed for 5 years until 2007. A separate validation data set of 4484 patients, baseline 2003, 201 cardiovascular disease events when followed for 4 years.Results: Adjusted hazard ratios at Cox regression for fatal/non-fatal cardiovascular disease were: diabetes duration 2.76 (2.21-3.44); onset age 1.47 (1.21-1.78); log ratio total cholesterol:HDL cholesterol 1.26 (1.09-1.45); log HbA(1c) 1.19 (1.03-1.38); log systolic blood pressure 1.17 (1.01-1.34) (1 SD increase in continuous variables); smoker 1.76 (1.27-2.46); macroalbuminuria (> 200 mu g/min) 1.52 (1.10-2.10); previous cardiovascular disease 3.51 (2.54-4.84). All eight variables were used to elaborate a risk equation for 5-year cardiovascular disease risk. Regarding calibration in the derivation data set, ratio predicted 5-year risk (mean 5.4 +/- 7.9%) to observed event rate was 1.0. Discrimination was sufficient, with C-statistic 0.83, sensitivity and specificity 72 and 77%, respectively, for the top quartile of predicted risk. Similarly, calibration and discrimination were adequate in the validation data set: ratio of predicted 4-year risk/observed rate 0.94, C-statistic 0.80, sensitivity and specificity 62 and 77%, respectively, for the top quartile.Conclusions: This 5-year cardiovascular disease risk model from a large observational study of patients with Type 1 diabetes in routine care showed adequate calibration and discrimination and can be useful for clinical practice. It should also be tested in patients with Type 1 diabetes from other countries.
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| 7. |
- Cederholm, Jan, et al.
(författare)
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Risk prediction of cardiovascular disease in type 2 diabetes : A risk equation from the Swedish National Diabetes Register (NDR)
- 2008
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 31:10, s. 2038-2043
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE - Risk prediction models obtained in samples from the general population do mot perform well in type 2 diabetic patients. Recently, 5-year risk estimates were proposed as being more accurate than 10-year risk estimates. This study presents a diabetes-specific equation for estimation of the absolute 5-year risk of first incident fatal/nonfatal cardiovascular disease (CVD) in type 2 diabetic patients with the use of A1C and clinical characteristics.RESEARCH DESIGN AND METHODS - The study was based on 11,646 female and male patients, aged 18-70 years, from the Swedish National Diabetes Register with 1,482 first incident CVD events based on 58,342 person-years with mean follow-up) of 5.64 years.RESULTS - This risk equation incorporates A1C, as in the UK Prospective Diabetes Study risk engine, and several clinical characteristics: onset age of diabetes, diabetes duration, sex, BMI, smoking, systolic blood pressure, and antihypertensive and lipid-reducing drugs. All predictors included were associated with the Outcome (P < 0.0001, except for BMI P = 0.0016) with Cox regression analysis. Calibration was excellent when assessed by comparing observed and predicted risk. Discrimination was sufficient, with a receiver operator curve statistic of 0.70. Mean 5-year risk of CVD in all patients was 12.0 +/- 7.5%, whereas 54% of the patients had a 5-year risk >= 10%.CONCLUSIONS - This more simplified risk equation enables 5-year risk prediction of CVD based on easily available nonlaboratory predictors in clinical practice and A1C and was elaborated in a large observational study obtained from the normal patient population aged up to 70 years.
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| 9. |
- Cederholm, Jan, et al.
(författare)
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Riskfaktorer för hjärt- kärlsjukdom : Resultat från Nationella diabetesregistret jämförs med internationella studier
- 2013
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Ingår i: Läkartidningen. - 0023-7205 .- 1652-7518. ; 110:17-18, s. 882-885
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Forskningsöversikt (refereegranskat)abstract
- Observationsstudier från Nationella diabetesregistret visar att vid typ 1- och typ 2-diabetes ses en ökande risk för hjärt–kärlsjukdom med stigande HbA1c-värden, men ingen förhöjd risk vid lägre HbA1c.Vid typ 2-diabetes ses påtagligt lägre risk för hjärt–kärlsjukdom vid blodtryck 130–135/75 mm Hg än vid 140/80 mm Hg eller högre.Lipidkvoten non-HDL-/HDL-kolesterol är en starkare riskfaktor för ischemisk hjärtsjukdom än LDL-kolesterol. Lägre värden för kvoten ger lägre triglycerider och högre HDL-kolesterol.Två verktyg för beräkning av 5-årsrisken för hjärt–kärlsjukdom vid typ 1-och typ 2-diabetes presenteras.
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